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[Doc] Update deps and fix dead links (#3252)

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hong19860320
2025-08-07 11:04:31 +08:00
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commit 93a1731891
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docs/get_started/installation/kunlunxin_xpu.md
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- OS: Linux
- Python: 3.10
- XPU Model: P800
- XPU Driver Version: ≥ 5.0.21.10
- XPU Firmware Version: ≥ 1.31
- XPU Driver Version: ≥ 5.0.21.26
- XPU Firmware Version: ≥ 1.48
Verified platform:
- CPU: INTEL(R) XEON(R) PLATINUM 8563C / Hygon C86-4G 7490 64-core Processor
@@ -15,8 +15,8 @@ Verified platform:
- OS: CentOS release 7.6 (Final)
- Python: 3.10
- XPU Model: P800 (OAM Edition)
- XPU Driver Version: 5.0.21.10
- XPU Firmware Version: 1.31
- XPU Driver Version: 5.0.21.26
- XPU Firmware Version: 1.48
**Note:** Currently, only INTEL or Hygon CPU-based P800 (OAM Edition) servers have been verified. Other CPU types and P800 (PCIe Edition) servers have not been tested yet.
docs/usage/kunlunxin_xpu_deployment.md
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|Model Name|Context Length|Quantization|XPUs Required|Deployment Commands|Minimum Version Required|
|-|-|-|-|-|-|
|ERNIE-4.5-300B-A47B|32K|WINT8|8|export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 8 \ <br> --max-model-len 32768 \ <br> --max-num-seqs 64 \ <br> --quantization "wint8" \ <br> --gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-300B-A47B|32K|WINT4|4 (recommend)|export XPU_VISIBLE_DEVICES="0,1,2,3" or "4,5,6,7"<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 4 \ <br> --max-model-len 32768 \ <br> --max-num-seqs 64 \ <br> --quantization "wint4" \ <br> --gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-300B-A47B|32K|WINT4|4 (Recommended)|export XPU_VISIBLE_DEVICES="0,1,2,3" or "4,5,6,7"<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 4 \ <br> --max-model-len 32768 \ <br> --max-num-seqs 64 \ <br> --quantization "wint4" \ <br> --gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-300B-A47B|32K|WINT4|8|export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 8 \ <br> --max-model-len 32768 \ <br> --max-num-seqs 64 \ <br> --quantization "wint4" \ <br> --gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-300B-A47B|128K|WINT4|8 (recommend)|export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 8 \ <br> --max-model-len 131072 \ <br> --max-num-seqs 64 \ <br> --quantization "wint4" \ <br> --gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-300B-A47B|128K|WINT4|8 (Recommended)|export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-300B-A47B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 8 \ <br> --max-model-len 131072 \ <br> --max-num-seqs 64 \ <br> --quantization "wint4" \ <br> --gpu-memory-utilization 0.9|>=2.0.0|
|ERNIE-4.5-0.3B|32K|BF16|1|export XPU_VISIBLE_DEVICES="0" # Specify any card<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 1 \ <br> --max-model-len 32768 \ <br> --max-num-seqs 128 \ <br> --gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-0.3B|32K|WINT8|1|export XPU_VISIBLE_DEVICES="x" # Specify any card<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 1 \ <br> --max-model-len 32768 \ <br> --max-num-seqs 128 \ <br> --quantization "wint8" \ <br> --gpu-memory-utilization 0.9|>=2.0.3|
|ERNIE-4.5-0.3B|128K|BF16|1|export XPU_VISIBLE_DEVICES="0" # Specify any card<br>python -m fastdeploy.entrypoints.openai.api_server \ <br> --model PaddlePaddle/ERNIE-4.5-0.3B-Paddle \ <br> --port 8188 \ <br> --tensor-parallel-size 1 \ <br> --max-model-len 131072 \ <br> --max-num-seqs 128 \ <br> --gpu-memory-utilization 0.9|>=2.0.3|
@@ -83,4 +83,4 @@ for chunk in response:
print('\n')
```
For detailed OpenAI protocol specifications, see [OpenAI Chat Compeltion API](https://platform.openai.com/docs/api-reference/chat/create). Differences from the standard OpenAI protocol are documented in [OpenAI Protocol-Compatible API Server](../../online_serving/README.md).
For detailed OpenAI protocol specifications, see [OpenAI Chat Compeltion API](https://platform.openai.com/docs/api-reference/chat/create). Differences from the standard OpenAI protocol are documented in [OpenAI Protocol-Compatible API Server](../online_serving/README.md).
docs/zh/get_started/installation/kunlunxin_xpu.md
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@@ -5,8 +5,8 @@
- OS：Linux
- Python：3.10
- XPU 型号：P800
- XPU 驱动版本：≥ 5.0.21.10
- XPU 固件版本：≥ 1.31
- XPU 驱动版本：≥ 5.0.21.26
- XPU 固件版本：≥ 1.48
已验证的平台：
- CPU：INTEL(R) XEON(R) PLATINUM 8563C / Hygon C86-4G 7490 64-core Processor
@@ -15,8 +15,8 @@
- OS：CentOS release 7.6 (Final)
- Python：3.10
- XPU 型号：P800（OAM 版）
- XPU 驱动版本：5.0.21.10
- XPU 固件版本：1.31
- XPU 驱动版本：5.0.21.26
- XPU 固件版本：1.48
**注：** 目前只验证过 INTEL 或海光 CPU OAM 版 P800 服务器，暂未验证其它 CPU 和 PCIe 版 P800 服务器。
docs/zh/usage/kunlunxin_xpu_deployment.md
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@@ -83,4 +83,4 @@ for chunk in response:
print('\n')
```
OpenAI 协议的更多说明可参考文档 [OpenAI Chat Compeltion API](https://platform.openai.com/docs/api-reference/chat/create)，以及与 OpenAI 协议的区别可以参考 [兼容 OpenAI 协议的服务化部署](../../online_serving/README.md)。
OpenAI 协议的更多说明可参考文档 [OpenAI Chat Compeltion API](https://platform.openai.com/docs/api-reference/chat/create)，以及与 OpenAI 协议的区别可以参考 [兼容 OpenAI 协议的服务化部署](../online_serving/README.md)。